Titel: Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings (Lecture Notes in Computer Science, 5633)
Verlag: Springer
Erscheinungsjahr: 2009
Sprache: Englisch
ISBN-10: 3642030661
ISBN-13: 9783642030666
Einband: Softcover
Zustand: New

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Inhaltsangabe

This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM two workshops were run focusing on special hot app- cation-oriented topics in data mining. The workshop Data Mining in Marketing DMM 2009 was run for the second time. The papers are published in a separate workshop book "Advances in Data Mining on Markting" by ibai-publishing (www.ibai-publishing.org). The Workshop on Case-Based Reasoning for Multimedia Data CBR-MD ran for the second year. The papers are published in a special issue of the International Journal of Transactios on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

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This book constitutes the refereed proceedings of the 9th Industrial Conference on Data Mining, ICDM 2009, held in Leipzig, Germany in July 2009.

The 32 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing, finance and telecommunication, data mining in process control, industry and society, data mining on multimedia data and theoretical aspects of data mining.

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